This model is a 5-bit quantized version of Gemma 4 E2B instruction-tuned, prepared for the MLX machine learning framework. It enables running a powerful language model on Apple Silicon devices with reduced memory requirements. The model includes appropriate tokenizer and chat template configurations for conversational use.
Gemma 4 E2B It sits in PulseGate's Foundation models & chat category. Efficient local execution of Gemma 4 on Apple hardware with minimal memory footprint. Gemma 4 E2B It is an open-source project aimed at Apple MLX developers. The project is open source (MIT). Gemma 4 E2B It is available on the web, the command line, and API.
lmstudio-community builds and maintains Gemma 4 E2B It, and the product first shipped in 2024. The project is developed in the open on GitHub with 5.2k stars and 419 commits in the last 90 days. PulseGate's similarity index places it among 13 comparable tools. Among its 3 catalogued features are Quantized LLM, Instruction Model, and Apple Silicon Optimized.
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